The bitter lesson in 26 words:
Don’t be distracted by human knowledge, as AI has been historically.
Instead focus on methods for creating knowledge that scale with computation, like search and learning.
Richard S.
Brief
Richard S. Sutton’s 26-word “bitter lesson” argues researchers should stop privileging encoded human knowledge and instead prioritize methods that create knowledge and scale with increased computation — specifically search and learning — because, historically, computation-scalable approaches have driven AI progress.
Why it matters
Richard S. Sutton (tweet titled “The bitter lesson in 26 words”, posted 2026-05-18) writes: “Don’t be distracted by human knowledge... Instead focus on methods for creating knowledge that scale with computation, like search and learning.”
Key details
- Sutton’s core claim: historical AI progress has come from approaches that scale with compute (e.g., search and learning) rather than from encoding human knowledge, so research should prioritize computation-scalable methods.